Based on our record, AWS Batch should be more popular than Azkaban. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Not sure if https://azkaban.github.io/ would fit your use case. Source: about 2 years ago
I used this once, was pretty nice: https://azkaban.github.io/. Source: about 2 years ago
Apache Azkaban is a batch workflow job scheduler to help developers run Hadoop jobs. The open-sourced platform “resolves ordering through job dependencies” and offers an intuitive web interface to help users maintain and track workflows. Source: about 2 years ago
After moving off Jenkins, I moved everything to AWS Batch with Fargate. This works quite well, but it is proving to be a little expensive, as I have to pay for:. Source: 11 months ago
If you're looking for more control over your infrastructure and want to run a full computing environment, EC2 might be the right choice for you. With EC2, you have complete control over the operating system, network, and storage, which can be useful if you need to install custom software or use specific hardware configurations. Additionally, EC2 + Batch processing provide a wider range of instance types, including... Source: about 1 year ago
AWS Batch is the equivalent of a university cluster you submit to with slurm/sge/lsf/etc. But does not use those schedulers as AWS has their own. Source: over 1 year ago
Developers frequently use batch computing to access significant amounts of processing power. You may perform batch computing workloads in the AWS Cloud with the aid of AWS Batch, a fully managed service provided by AWS. It is a powerful solution that can plan, schedule, and execute containerized batch or machine learning workloads across the entire spectrum of AWS compute capabilities, including Amazon ECS, Amazon... - Source: dev.to / over 1 year ago
As others mentioned, you *can*. It might be easier with AWS Batch (https://aws.amazon.com/batch/) depending on what you're trying to do. Source: over 1 year ago
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
AWS Lambda - Automatic, event-driven compute service
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Nuclio - Nuclio is an open source serverless platform.
Apache Oozie - Apache Oozie Workflow Scheduler for Hadoop
Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.